MAOS is a sophisticated python framework for Multi-Agent modeling, simulation, and control.
It is designed to help Researchers, Developers, and Engineers to compose arbitrary networks of agents as networkx graphs.
By combining flexible tooling (e.g., Ray for distributed computing, NetworkX for graph modeling, and other open-source libraries), M.A.O.S. enables users to experiment and simulate agent interactions at scale. This allows for rapid prototyping, benchmarking, and analysis of multi-agent scenarios in diverse domains—providing an extensible foundation for AI-native solutions and cutting-edge research.